Source code of the TUCMI submission to BirdCLEF2017
Classifies a bird's species using a neural network in tensorflow..
A model inspired by inception v1 for classification of bird species
A better tracking of endangered bird species using machine learning and crowdsourcing.
To set up the raspberry pi and cloud environment please visit the Nick branch; to set up the website please use the main branch.
Object detection dataset based on images from Macaulay Library for 29 bird species in the Pittsburgh area. The 29 species are a subset of the 400 species in the NABirds dataset. For each species, the dataset contains about 1000 labeled images.
ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
XenoPy: Python wrapper for Xeno-canto API 2.0. Supports multiprocessing.
A list of useful resources in the bird sound (song and calls) recognition, such as datasets, papers, links to open source projects and competitions
Free open information (CC0) about nature on planet earth
Galeria online de fotos de aves, com design inspirado em cartões. Explore e aprecie a beleza das aves de forma intuitiva e organizada.
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